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What is Synthetic Data?
Synthetic data is artificially generated information that replicates the patterns, diversity, and realism of real research data without exposing personal identities or relying on fraud prone panels.
At ONR EDGE, we specialize in synthetic data built specifically for market research, ensuring validity, compliance, and actionable outcomes.
Why ONR EDGE Synthetic Data Matters
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Scalable Insights – Replace slow surveys and costly focus groups with instant, high volume synthetic responses.
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Fraud Free Quality – Eliminate bots, low effort respondents, and duplicate answers.
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Privacy by Design – Stay compliant with GDPR, HIPAA, and CCPA.
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Inclusive Data – Fill gaps for hard to reach or underrepresented customer segments.
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Predictive Scenarios – Simulate “what if” events like new product launches or pricing changes.
Common Drawbacks of Synthetic Data
Synthetic data is not perfect. Many solutions suffer from accuracy issues, hidden bias, and low adoption.
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The ONR EDGE Difference:
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Validated against real world benchmarks
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Built with bias detection and correction
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Designed to simulate real world complexity and edge cases
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Delivered with a transparency layer so stakeholders trust the results
How ONR EDGE Works
Market Research Firms: Strengthen trust in deliverables.
Enterprises: Protect decision-making from bad data.
Consulting & Analytics Providers: Scale new service offerings with fraud-free insights.
Tech Platforms: Embed conversational research capabilities directly into customer intelligence tools.
Real Applications
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Brand tracking with richer, fraud free data
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Product testing at scale without costly panels
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Enhancing Voice of Customer (VoC) research
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Running predictive “what if” market scenarios
Why Choose ONR EDGE?
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Market research expertise, not a generic synthetic data provider
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End to end pipeline from design to validation
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Trusted by leading global brands
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Frameworks combining behavioral science, statistics, and AI
The Future of Research
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